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Article: Modeling of long-term dynamics for interconnected power systems with structure-preserved network

TitleModeling of long-term dynamics for interconnected power systems with structure-preserved network
Authors
KeywordsCenter of inertia (COI)
Interconnected power systems
Long-term dynamics
Structure preservation
Time-domain simulation
Issue Date2007
Citation
Dianli Xitong Zidonghua/Automation Of Electric Power Systems, 2007, v. 31 n. 22, p. 21-26 How to Cite?
AbstractIn order to study the long-term frequency and voltage dynamics of interconnected power systems under cascading events, this paper suggests an appropriate mathematical model and its simulation algorithm with the network structure preserved. Similar to traditional dynamic power flow, the proposed model assumes that the system has survived the transient stability and has sufficient damping torque. Therefore, the relative swings among generator rotors in one area will be neglected in long-term dynamics; and each control area is recommended to have a uniform frequency, represented by its area center of inertia (COI), with a simulation of the long-term frequency and voltage dynamics and the investigation on its effective control strategies. Computer test results of the IEEE 3-area 30-bus system show the validity and effectiveness of the proposed model and algorithm. The proposed simulation tool can be used to study long-term frequency and voltage stability control of interconnected power systems.
Persistent Identifierhttp://hdl.handle.net/10722/155421
ISSN
2023 SCImago Journal Rankings: 1.171
References

 

DC FieldValueLanguage
dc.contributor.authorYi, Hen_HK
dc.contributor.authorDu, Zen_HK
dc.contributor.authorCheng, Sen_HK
dc.contributor.authorZhang, Yen_HK
dc.contributor.authorHou, Yen_HK
dc.contributor.authorShi, Len_HK
dc.contributor.authorNi, Yen_HK
dc.date.accessioned2012-08-08T08:33:24Z-
dc.date.available2012-08-08T08:33:24Z-
dc.date.issued2007en_HK
dc.identifier.citationDianli Xitong Zidonghua/Automation Of Electric Power Systems, 2007, v. 31 n. 22, p. 21-26en_HK
dc.identifier.issn1000-1026en_HK
dc.identifier.urihttp://hdl.handle.net/10722/155421-
dc.description.abstractIn order to study the long-term frequency and voltage dynamics of interconnected power systems under cascading events, this paper suggests an appropriate mathematical model and its simulation algorithm with the network structure preserved. Similar to traditional dynamic power flow, the proposed model assumes that the system has survived the transient stability and has sufficient damping torque. Therefore, the relative swings among generator rotors in one area will be neglected in long-term dynamics; and each control area is recommended to have a uniform frequency, represented by its area center of inertia (COI), with a simulation of the long-term frequency and voltage dynamics and the investigation on its effective control strategies. Computer test results of the IEEE 3-area 30-bus system show the validity and effectiveness of the proposed model and algorithm. The proposed simulation tool can be used to study long-term frequency and voltage stability control of interconnected power systems.en_HK
dc.languageengen_US
dc.relation.ispartofDianli Xitong Zidonghua/Automation of Electric Power Systemsen_HK
dc.subjectCenter of inertia (COI)en_HK
dc.subjectInterconnected power systemsen_HK
dc.subjectLong-term dynamicsen_HK
dc.subjectStructure preservationen_HK
dc.subjectTime-domain simulationen_HK
dc.titleModeling of long-term dynamics for interconnected power systems with structure-preserved networken_HK
dc.typeArticleen_HK
dc.identifier.emailHou, Y: yhhou@hku.hken_HK
dc.identifier.emailNi, Y: yxni@eee.hku.hken_HK
dc.identifier.authorityHou, Y=rp00069en_HK
dc.identifier.authorityNi, Y=rp00161en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-37349117973en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-37349117973&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume31en_HK
dc.identifier.issue22en_HK
dc.identifier.spage21en_HK
dc.identifier.epage26en_HK
dc.publisher.placeChinaen_HK
dc.identifier.scopusauthoridYi, H=23096542500en_HK
dc.identifier.scopusauthoridDu, Z=14051907600en_HK
dc.identifier.scopusauthoridCheng, S=7404685116en_HK
dc.identifier.scopusauthoridZhang, Y=8317229100en_HK
dc.identifier.scopusauthoridHou, Y=7402198555en_HK
dc.identifier.scopusauthoridShi, L=7401640432en_HK
dc.identifier.scopusauthoridNi, Y=7402910021en_HK
dc.identifier.issnl1000-1026-

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